288 pp. per issue
6 x 9, illustrated
2014 Impact factor:

Neural Computation


Terrence J. Sejnowski, Editor-in-Chief

Neural Computation disseminates important, multidisciplinary research in a field that attracts psychologists, physicists, computer scientists, neuroscientists, and artificial intelligence investigators, among others.

Table of Contents

Vol. 6, Issue 3 - May 1994


Statistical Physics Algorithms That Converge
pp. 341-356
Abstract | PDF (844.21 KB)
Object Recognition and Sensitive Periods: A Computational Analysis of Visual Imprinting
pp. 357-389
Abstract | PDF (1.74 MB)
Computing Stereo Disparity and Motion with Known Binocular Cell Properties
pp. 390-404
Abstract | PDF (767.22 KB)
Integration and Differentiation in Dynamic Recurrent Neural Networks
pp. 405-419
Abstract | PDF (1.33 MB)
A Convergence Result for Learning in Recurrent Neural Networks
pp. 420-440
Abstract | PDF (778.89 KB)
Topology Learning Solved by Extended Objects: A Neural Network Model
pp. 441-458
Abstract | PDF (946.71 KB)
Dynamics of Discrete Time, Continuous State Hopfield Networks
pp. 459-468
Abstract | PDF (424.79 KB)
Alopex: A Correlation-Based Learning Algorithm for Feedforward and Recurrent Neural Networks
pp. 469-490
Abstract | PDF (1.76 MB)
Duality Between Learning Machines: A Bridge Between Supervised and Unsupervised Learning
pp. 491-508
Abstract | PDF (826.2 KB)
Finding the Embedding Dimension and Variable Dependencies in Time Series
pp. 509-520
Abstract | PDF (527.37 KB)
Comparison of Some Neural Network and Scattered Data Approximations: The Inverse Manipulator Kinematics Example
pp. 521-542
Abstract | PDF (1.04 MB)
Functionally Equivalent Feedforward Neural Networks
pp. 543-558
Abstract | PDF (785.14 KB)